Hands-On Guide To Deep Convolutional GAN for Fashion Apparel Image Generation

Generative Adversarial Networks (GANs) are a trend nowadays in various unsupervised learning applications. They are applied in animation and gaming with a full swing due to their capability to produce new images when trained on a set of similar but different images. This model is basically a deep generative model composed of two networks – a generator and a discriminator. The Deep Convolutional Neural Network is one of the variants of GAN where convolutional layers are added to the generator and discriminator networks. In this article, we will train the Deep Convolutional Generative Adversarial Network on Fashion MNIST training images in order to generate a new set of fashion apparel images.